Determining relationship between fingerprint and gender using 10 finger attributes

This study investigates the relationship among fingerprint and gender for all 10 fingerprints. 410 fingerprints taken from 19 females and 22 males aged between 18 and 25 years old were considered for this investigation. This is the first comprehensive study in literature that investigates 10 fingerprints for Turkish citizens. Ridge density, ridge thickness to valley thickness ratio and total ridge breadth values gained from our fingerprint database were used to determine gender. The results have shown that gender determination is successful for Turkish citizens with any of ten fingerprints. The average values for ridge density-ridge breadth-RTVTR are 13.09-36.56-0.46 for men and 14.43-37.44-0.47 for women, respectively. The gender difference of ridge density is determined as 1.34, which is the lowest value among the other studies in the literature.

10 parmak öznitelikleri kullanılarak parmak izi ile cinsiyet arasındaki ilişkinin tespiti

Bu çalışma 10 parmak için parmak izi ve cinsiyet arasındaki ilişkiyi araştırmaktadır. Yaşları 18 ve 25 arasında olan 19 bayan ve 22 baydan alınan 410 parmak izi araştırma için değerlendirilmiştir. Bu çalışma Türk vatandaşlarının 10 parmak izini inceleyen literatürdeki ilk kapsamlı çalışmadır. Parmak izi veritabanımızdan elde edilen tepe yoğunluğu, tepe kalınlığının vadi kalınlığına oranı ve ortalama tepe genişliği değerleri cinsiyeti tespit etmek için kullanılmıştır. Sonuçlar, Türk vatandaşları için on parmaktan herhangi biri ile cinsiyet tespitinin başarılı olduğunu göstermektedir. Tepe kalınlığı-tepe genişliği-RTVTR için ortalama değerler baylar ve bayanlar için sırasıyla 13,09-36,56-0,46 ve 14,43-37,44-0,47’dir. Tepe yoğunluğunun cinsiyetler arasındaki farkı literatürdeki diğer çalışmalara göre en düşük değer olan 1,34 olarak tespit edilmiştir.

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E. Gutiérrez, V. Galera, J. M. Martínez and C. Alonso, “Biological variability of the minutiae in the fingerprints of a sample of the Spanish population”, Forensic Science International, vol. 172, no. 2–3, pp. 98-105, 2007.

V. C. Nayak, P. Rastogi, T. Kanchan, K. Yoganarasimha, G. P. Kumar and R. G. Menezes, “Sex differences from fingerprint ridge density in Chinese and Malaysian population”, Forensic Science International, vol. 197, pp. 67–69, 2010.

E. Gutierrez-Redomero, N. Rivalderi, C. Alonso-Rodriguez, L. M. Martin, J. E. Dipierri, M. A. Fernandez-Peire and R. Morillo, “Are there population differences in minutiae frequencies? A comparative study of two Argentinian population samples and one Spanish sample”, Forensic Science International, vol. 222, pp. 266–276, 2012.

A. Badawi, M. R. Mahfouz, R. Tadross and R. Jantz, “Fingerprint-based gender classification”, International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, Nevada, USA, pp. 41-46, 2006.

M. D. Nithin, B. M. Balaraj, B. Manjunatha and S. C. Mestri, “Study of fingerprint classification and their gender distribution among South Indian population”, Journal of Forensic and Legal Medicine, vol. 16, no. 8, pp. 460-463, 2009.

D. Kimura and M. W. Carson, “Dermatoglyphic asymmetry:relation to sex handedness and cognitive pattern”, Personality and Individual Differences, vol. 19, no. 4, pp. 471-478, 1995.

E. Gutierrez-Redomero, C. Alonso and V. Galera, “Variability of fingerprint ridge density in a sample of Spanish Caucasians and its application to sex determination”, Forensic Science International, vol. 180, pp. 17–22, 2008.

E. Gutiérrez-Redomero, M. C. Alonso and J. E. Dipierri, “Sex differences in fingerprint ridge density in the Mataco-Mataguayo population”, HOMO - Journal of Comparative Human Biology, vol. 62, pp. 487–499, 2011.

E. Gutiérrez-Redomero, A. SánchezAndrés, N. Rivaldería, C. AlonsoRodríguez, J. E. Dipierri and L. M. Martín, “A comparative study of topological and sex differences in fingerprint ridge density in Argentinian and Spanish population samples”, Journal of Forensic and Legal Medicine, vol. 20, pp. 419-429, 2013.

K. Krishan, T. Kanchan and C. Ngangom, “A study of sex differences in fingerprint ridge density in a North Indian young adult population”, Journal of Forensic and Legal Medicine, vol. 20, pp. 217-222, 2013.

A. K. Agnihotri, V. Jowaheer and A. Allock, “An analysis of fingerprint ridge density in the Indo-Mauritian population and its application to gender determination”, Medicine, Science and the Law, vol. 52, no. 3, pp. 143-147, 2012.

S. Nanakorn, P. Poosankam and A. Nanakorn, “An Application of Automated Inkless Fingerprint Imaging Software in Fingerprint Collection and Pattern Analysis”, IEEE Second International Conference on Innovative Computing, Information and Control (ICICIC '07), Kumamoto, Japan, pp. 53, 2007.

M. D. Nithin, B. Manjunatha, D. S. Preethi and B. M. Balaraj, “Gender differentiation by finger ridge count among South Indian population”, Journal of Forensic and Legal Medicine, vol. 18, pp. 79-81, 2011.

V. C. Nayak, P. Rastogi, T. Kanchan, S. W. Lobo, K. Yoganarasimha, S. Nayak, N. G. Rao, G. P. Kumar, B. S. K. Shetty and R. G. Menezes, “Sex differences from fingerprint ridge density in the Indian population”, Journal of Forensic and Legal Medicine, vol. 17, pp. 84–86, 2010.

G. A. Eshak, J. F. Zaher, E. I. Hasan and A. A. Ewis, “Sex identification from fingertip features in Egyptian population”, Journal of Forensic and Legal Medicine, vol. 20 pp. 46-50, 2013.

S. Sagiroglu and N. Ozkaya, “An Intelligent and Automatic Face Shape Prediction System From Fingerprints”, Intelligent Automation & Soft Computing, vol. 17, no. 3, pp. 309-317, 2011.

M. A. Acree, “Is there a gender difference in fingerprint ridge density?”, Forensic Science International, vol. 102, pp. 35–44, 1999.

E. B. Ceyhan, S. Sagiroglu, S. Tatoglu and E. Atagun, “Age Estimation from Fingerprints: Examination of the Population in Turkey”, IEEE 13th International Conference on Machine Learning and Applications (ICMLA), Detroit, USA, pp. 478-481, 2014.

E. B. Ceyhan, S. Sagiroglu and E. Akyil, “Gender Classification Based on ANN with Using Fingerprint Feature Vectors”, Journal of the Faculty of Engineering and Architecture of Gazi University, vol. 29, no. 1, pp. 201-207, 2014.

E. B. Ceyhan and S. Sagiroglu, “Gender inference within Turkish population by using only fingerprint feature vectors”, IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM), Orlando, USA, pp. 146-150, 2014.

E. B. Ceyhan, S. Sagiroglu and M. E. Akyil, “Statistical gender analysis based on fingerprint ridge density”, IEEE 21st Signal Processing and Communications Applications Conference (SIU), Lefkosa, KKTC, pp. 1-4, 2013.

S. Sagiroglu, U. Yavanoglu, E. B. Ceyhan and M. E. Akyil, “System for estimating gender from fingerprints”, US Patent App. 14/408,102.

R. Kaur and S. G. Mazumdar, “Fingerprint Based Gender Identification Using Frequency Domain Analysis”, International Journal of Advances in Engineering & Technology, vol. 3, no. 1, pp. 295-299, 2012.

S. Cadd, M. Islam, P. Manson and S. Bleay, “Fingerprint composition and aging: A literature review”, Science & Justice, vol. 55, no. 4, pp. 219-238, 2015.

E. Gutiérrez-Redomero, N. Rivaldería, C. Alonso-Rodríguez and Á. Sánchez-Andrés, “Assessment of the methodology for estimating ridge density in fingerprints and its forensic application”, Science & Justice, vol. 54, no. 3, pp. 199-207, 2014.

E. B. Ceyhan, “Intelligent system for identifying gender from fingerprint”, MSc Thesis, Gazi University Institute of Science and Technology, Ankara, 2012.